Please use this identifier to cite or link to this item: https://doi.org/10.1117/12.852098
DC FieldValue
dc.titleNear-infrared autofluorescence imaging for colonic cancer detection
dc.contributor.authorShao, X.
dc.contributor.authorZheng, W.
dc.contributor.authorHuang, Z.
dc.date.accessioned2014-06-19T08:58:48Z
dc.date.available2014-06-19T08:58:48Z
dc.date.issued2009
dc.identifier.citationShao, X.,Zheng, W.,Huang, Z. (2009). Near-infrared autofluorescence imaging for colonic cancer detection. Proceedings of SPIE - The International Society for Optical Engineering 7634 : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1117/12.852098" target="_blank">https://doi.org/10.1117/12.852098</a>
dc.identifier.isbn9780819480361
dc.identifier.issn0277786X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/74900
dc.description.abstractWe explore an NIR autofluorescence imaging technique for cancer diagnosis and detection. A set of tissue images including NIR white light images, autofluorescence (AF) images and fluorescence polarized images (FPI) (parallel-, and perpendicular- polarization) were acquired in tandem on human colonic tissues. The results show that NIR fluorescence intensity of normal tissue is significantly higher than that of cancer tissue. The perpendicular-polarization image yields the highest diagnostic accuracy 93% compared to other imaging modes. This work demonstrates that Fluorescence polarization imaging (FPI) technique has great potential for cancer diagnosis and detection in the colon. © 2009 SPIE-OSA-IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1117/12.852098
dc.sourceScopus
dc.subjectAutofluorescence image
dc.subjectColon cancer
dc.subjectNear-infrared
dc.typeConference Paper
dc.contributor.departmentBIOENGINEERING
dc.description.doi10.1117/12.852098
dc.description.sourcetitleProceedings of SPIE - The International Society for Optical Engineering
dc.description.volume7634
dc.description.page-
dc.description.codenPSISD
dc.identifier.isiutNOT_IN_WOS
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